Evidence map›Paper›PMID 36263067›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER Program.

Yongkang Zhang, Hui Hu, Vasilios Fokaidis, Colby Lewis, Jie Xu, Chengxi Zang, Zhenxing Xu, Fei Wang, Michael Koropsak, Jiang Bian and 7 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 1 country.

Yongkang ZhangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Hui HuChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Vasilios FokaidisDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Colby LewisDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Jie XuDepartment of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL.
Chengxi ZangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Zhenxing XuDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Fei WangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Michael KoropsakDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Jiang BianDepartment of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL.
Jaclyn HallDepartment of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL.
Russell L RothmanDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN.
Elizabeth A ShenkmanDepartment of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
Mark G WeinerDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Thomas W CartonLouisiana Public Health Institute, New Orleans, LA.
Rainu KaushalDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Cornell University · USUniversity of Florida Health · USVanderbilt University Medical Center · USBrigham and Women's Hospital · USLouisiana Public Health Institute · US

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
NHLBI NIH HHS OT2 HL161847
6 · The paper itself

Abstract

Post-acute sequelae of SARS-CoV-2 infection (PASC) affects a wide range of organ systems among a large proportion of patients with SARS-CoV-2 infection. Although studies have identified a broad set of patient-level risk factors for PASC, little is known about the contextual and spatial risk factors for PASC. Using electronic health data of patients with COVID-19 from two large clinical research networks in New York City and Florida, we identified contextual and spatial risk factors from nearly 200 environmental characteristics for 23 PASC symptoms and conditions of eight organ systems. We conducted a two-phase environment-wide association study. In Phase 1, we ran a mixed effects logistic regression with 5-digit ZIP Code tabulation area (ZCTA5) random intercepts for each PASC outcome and each contextual and spatial factor, adjusting for a comprehensive set of patient-level confounders. In Phase 2, we ran a mixed effects logistic regression for each PASC outcome including all significant (false positive discovery adjusted p-value < 0.05) contextual and spatial characteristics identified from Phase I and adjusting for confounders. We identified air toxicants (e.g., methyl methacrylate), criteria air pollutants (e.g., sulfur dioxide), particulate matter (PM

Identifiers

PMID36263067
PMCPMC9580388
OpenAlexW4306157952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.